Results 71 to 80 of about 136,829,320 (227)

Homophily‐adjusted social influence estimation

Canadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +1 more source

Evaluating Person-Parameter Estimation Methods in Cognitive-Diagnostic Models with Testlet Effects

Education Sciences
Testlet-based cognitive-diagnostic models involve both discrete attribute profiles and continuous testlet effects, making person-parameter estimation more challenging than in standard cognitive-diagnostic models.
Mei You, Jingjing Yang, Xin Xu
doaj   +1 more source

METHODS CONTROL RADIOASTRONOMY OBSERVATIONS AND PROCESSING OF COSMIC RADIO SOURCES

Odessa Astronomical Publications, 2012
In this paper the following methods represented: control of the radio astronomical observations using the estimation results, making decisions on the detection of cosmic sources, taking into account noise and interference, and recognizers classes of ...
E. A. Isaev
doaj   +1 more source

Adaptivity and A Posteriori Error Estimation For DG Methods on Anisotropic Meshes [PDF]

, 2006
Adaptivity and A Posteriori Error Estimation For DG Methods on Anisotropic ...
Hall, Edward, Emmanuil H. Georgoulis (7584863), Georgoulis, Emmanuil H., Paul Houston (400259), Edward Hall (2640643), Houston, Paul   +5 more
core  

Mitigating measurement error in misspecified small area models

Canadian Journal of Statistics, EarlyView.
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese, Serena Arima, Brunero Liseo, Alessio Pollice   +3 more
wiley   +1 more source

Approximate Maximum a Posteriori Training of Diffusion Models for Image Restoration

IEEE Access
Inverse problems such as super-resolution, deblurring, and inpainting are commonly solved using iterative Maximum a Posteriori (MAP) solvers with pretrained priors.
Samuel D. Willingham, Marten Sjostrom, Christine Guillemot   +2 more
doaj   +1 more source

A simple approach to maximum intractable likelihood estimation [PDF]

, 2013
Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Rubio, Francisco J., Johansen, Adam M.
core   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

Clinical Pharmacology &Therapeutics, EarlyView.
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source

Addressing Non-IID with Data Quantity Skew in Federated Learning

Information
Non-IID is one of the key challenges in federated learning. Data heterogeneity may lead to slower convergence, reduced accuracy, and more training rounds.
Narisu Cha, Long Chang
doaj   +1 more source

Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Antiretroviral pre‐exposure prophylaxis (PrEP) is less effective in women than expected, partly because drug exposure within the female genital tract is variable and may be influenced by the vaginal microbiome. We developed an integrated pharmacometrics and machine learning framework to evaluate associations between vaginal microbiome composition and ...
Diqin Yan, Lindsey B. Collins, Christopher Staley, Flavia Kiweewa Matovu, Pamala Jacobson, Melanie Nicol, Shen Cheng   +6 more
wiley   +1 more source